What Is an AI Visibility Score? How to Check If AI Can Find Your Store

An AI Visibility Score is a 0–100 measure of how readable your store or product page is to AI agents — systems like ChatGPT, Perplexity, Gemini and Google AI Overview that answer shopping questions with direct product recommendations instead of a list of links.

A store with a high score has the technical signals and content clarity that AI systems need to understand, compare and recommend its products. A store with a low score is effectively invisible to those systems, regardless of how well it ranks on Google.

Why AI Agents Need a Different Signal Than Search Engines

When Google crawls your store, it looks at keywords, backlinks, page speed, and domain authority. When ChatGPT evaluates your store, none of those signals matter.

What matters to AI agents:

• Structured data — schema.org Product markup that lets AI parse your product name, price, category, and attributes without guessing
• AI crawler access — whether GPTBot, ClaudeBot, and PerplexityBot are explicitly allowed in robots.txt
• llms.txt — a machine-readable index file that tells AI models what your site contains and how to use it
• Content clarity — product descriptions that explain what the product is, who it is for, and how it compares to alternatives
• Locale signals — canonical tags and hreflang markup so AI answers in the right language for the right market

If any of these are missing or broken, AI agents either skip your store or produce low-confidence recommendations that get filtered out before reaching the user.

What an AI Visibility Score Measures

The score breaks down into five weighted signals:

Signal	Max points	What it checks
Structured data	25	JSON-LD Product, Organization, BreadcrumbList
Content readiness	20	Title, meta description, OG tags, headings, image alt text
Citation signals	20	llms.txt presence and quality, sitemap, schema count
Crawler accessibility	20	GPTBot, ClaudeBot, PerplexityBot in robots.txt
Locale & freshness	15	Canonical, hreflang, page structure

Score ranges:

• 0–30 — Not AI-ready. AI agents cannot parse your products reliably.
• 31–60 — Partly visible. Some signals are present but gaps reduce recommendation confidence.
• 61–80 — Mostly visible. Minor fixes would move you into the top tier.
• 81–100 — Fully AI-ready. Strong signal coverage across all five dimensions.

How to Check Your AI Visibility Score

You can check any store or product URL for free — no account required — using the Krawfly AI Visibility Score tool.

Paste any URL. The tool fetches the page, checks all five signal categories, and returns:

• A score from 0 to 100
• A per-engine visibility estimate across ChatGPT, Perplexity, Gemini and Google AI Overview
• A breakdown of what each signal category scored
• A ranked list of fixes, each showing how many points it would add to your score

The scan takes under ten seconds.

What a Real Score Looks Like

Most e-commerce stores we scan fall between 30 and 55. The most common gaps:

Missing structured data is the single biggest driver of low scores. Many Shopify themes include minimal or no JSON-LD Product markup — some include it only on product pages, not category or collection pages. AI agents that can’t find a schema have to guess product attributes from the HTML, which produces low-confidence outputs.

Blocked AI crawlers is a common and easy-to-miss issue. Some security plugins and CDN configurations block all non-Google bots by default. If GPTBot can’t crawl your store, it can’t index your products.

No llms.txt is the most fixable gap. The file doesn’t exist for most stores, but takes under a minute to create. You can generate one automatically for any domain using the free Krawfly llms.txt generator.

Thin content is the hardest to fix at scale. AI agents need enough context to make a confident recommendation — a product page with a three-line description and no use cases gives them almost nothing to work with.

How to Improve Your Score

Start with the three fixes that move the needle most:

1. Add AI crawler directives to robots.txt

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

This single change can add 10–20 points and costs nothing to implement.

2. Create an llms.txt file

Publish a /llms.txt file at your domain root. At minimum it should include your store name, a short description, your primary catalog URL, and links to key pages. Use the free generator to create one in seconds.

3. Add JSON-LD Product schema to every product page

At minimum:

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Your Product Name",
  "description": "Clear description of what this is and who it is for.",
  "offers": {
    "@type": "Offer",
    "price": "49.00",
    "priceCurrency": "EUR",
    "availability": "https://schema.org/InStock"
  }
}

For Shopify stores, Krawfly automates schema generation and publishing across your entire catalog — and tracks whether AI citations improve after each change.

Frequently Asked Questions

Does a high AI Visibility Score mean I’ll be recommended by ChatGPT? It means you have the technical signals that make a recommendation possible. AI recommendations also depend on content quality, authority signals, and what competitors in your category look like. The score tells you whether the door is open — not whether the AI will walk through it.

Is the AI Visibility Score the same as a GEO Score? The AI Visibility Score is a simplified, public-facing measure of the same underlying signals. Krawfly’s internal GEO Score (used inside the product) also incorporates keyword confidence, live SERP data, and catalog-level factors that aren’t visible from a single page scan.

How often should I check my score? After any significant change to your store — theme update, new product launch, robots.txt change, or schema update. For ongoing monitoring, Krawfly tracks GEO signals at the catalog level and alerts when scores drop.

Does fixing AI visibility hurt my SEO? No. Most GEO improvements — clearer product descriptions, structured data, better semantic context — also benefit classic search rankings. The two disciplines reinforce each other.